Agentic Automation for SEM Teams

AdgOptz uses agentic automation to transform search term optimization by identifying waste, surfacing profitable growth opportunities, and turning account complexity into clearer, faster decisions.

How AdgOptz Works | Search Terms, Classifier, N-Grams, Negatives

See how AdgOptz works for Google Ads workflow optimization, including search term pulling, classification, n-gram analysis, negative management, and intent extraction.

Click to enlarge

How It Works

Agentic Optimization

Get early access

2942 Century Pl. STE 806

Costa Mesa, CA 92626

contact@adgoptz.com

Early Access

Next steps

Request Early Access

Dashboard login

Terms & Conditions

Platform capabilities

Campaign dashboard

Keep account workflow visibility in one place so teams know where to focus and what needs action next.

Search term report review

Bring search-term data into a repeatable review workflow instead of disconnected exports and ad hoc analysis.

Search term classifier

Organize intent, patterns, and query themes faster so teams can make better decisions with less manual effort.

N-gram analysis

Reveal recurring terms and themes that help identify wasted spend, efficiency gains, and new opportunities.

Push negatives

Move from analysis into action with a tighter workflow for negative keyword decisions and execution.

Admin controls

Support governance, team access, and more controlled multi-user workflows inside the platform.

Named Entity Recognition (NER)

Named Intent Extraction

Our Intent Extraction Model turns messy search term queries into structured intent signals.

While an AI chatbot may interpret “old film buff” as an elderly film expert, AdgOptz evaluates the searcher's intent in context. That intent understanding helps the platform identify which search terms belong in campaigns and which should be added as negative keywords.

Traditional NER methods are helpful for finding entities, but paid-search optimization often needs more than named entities alone. AdgOptz uses Intent Extraction and NIE (Named Intent Extraction) to understand what the query is trying to do, not just what words appear inside it.

That means teams can separate research intent, purchase intent, support intent, competitor intent, and low-value noise faster — creating a clearer path from search-term review to classification, routing, and optimization decisions.

Intent Misinterpreted

Intent Correctly Interpreted

Google Ads Search Term Insight

Search term intent understanding

AdgOptz connects directly to your Google Ads search term data and applies structured analysis so teams can move from raw query volume to confident, prioritized decisions.

Google Ads surfaces thousands of search terms across campaigns, but raw export data rarely tells you what to act on first. AdgOptz layers intent classification, N-gram pattern detection, and query-level performance context on top of your search term reports — so what used to take hours of manual review becomes a structured, repeatable workflow.

By combining our NER-powered intent extraction with your actual spend and conversion data, the platform helps teams quickly separate high-value queries from wasted spend and move directly into negative keyword decisions, campaign segmentation, and opportunity discovery.

Agentic Workflow Optimization

Everything is designed to help teams move from raw query data to confident optimization actions.

Instead of bouncing between exports, notes, and disconnected decisions, AdgOptz gives teams a cleaner operating flow for understanding what happened and what to do next with agentic assistance.

Get free audit

Request early access

Faster review cycles

Cleaner query analysis

Better team consistency

Clearer optimization actions